IGERT Formal Proposal: Multidisciplinary Training Program in Computational Analysis of Social and Organizational Systems

这一综合性教育与研究培训(IGERT)奖支持建立一个多学科的社会和组织系统计算分析(CAOS)教育和研究研究生培训计划。在过去的十年中，计算社会科学(如计算组织理论)和社会计算机科学(如多智能体系统)应运而生。这导致了对群体、组织、机构和社会作为智能适应主体的统一观点，这些智能适应主体由嵌入社会的、智能和适应主体组成的网络组成，这些网络可以通过计算和社会复杂的模型和主体进行推理并得到其支持。Casos项目将教学生如何使用计算机来理解人类行为的复杂性，以及如何利用人类作为社会参与者的知识来改进计算代理，从而为这一领域的学生做好准备。课程特色包括：综合社会科学和计算机科学课程；工作室课程，重点关注现实世界的企业关切、模型设计、实施和验证；指导计划；研究实践、提案竞赛；远程学习；以及综合暑期研讨会和会议。课堂和研究将在未来的教室/办公室进行--这是一个分布式智能空间，在那里，人们可以随时随地向/从他们想要的无限代理网络中的任何人(人类、网络机器人、机器人、公司等)提供/接收信息；因此，减少课堂/研究障碍，实现实时计算分析、数据收集和模型验证，并增加与其他机构的教职员工和学生的互动。IGERT是一个NSF范围的项目，旨在促进建立创新的、基于研究的研究生项目，培养不同的科学家和工程师群体，为充分利用广泛的职业选择做好准备。IGERT为博士机构提供了一个机会，以开发新的、重点明确的、超越组织边界的多学科研究生课程，并团结来自几个系或机构的教师，为培训和研究建立一个高度互动、协作的环境。在该计划的第二年，将向21个机构颁发奖项，这些机构的项目共同涵盖了NSF支持的所有科学和工程领域。这一具体奖项由社会、行为和经济科学理事会、计算机和信息科学与工程理事会以及教育和人力资源理事会提供资金支持。

This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of a multidisciplinary graduate training program of education and research in Computational Analysis of Social and Organizational Systems (CASOS). In the past decade the computational social sciences (e.g., computational organization theory) and the social computer sciences (e.g., multi-agent systems) have emerged. This has resulted in a unified perspective on groups, organizations, institutions and societies as intelligent adaptive agents composed of networks of socially-embedded, intelligent and adaptive agents that can be reasoned about, and supported by, computationally and socially sophisticated models and agents. The CASOS program will prepare students for this field by teaching them how to use computers to understand the complexities of human behavior and how to use knowledge of humans as social actors to improve computational agents. Program features include: integrated social and computer science curriculum; studio courses emphasizing real-world corporate concerns, model design, implementation and validation; mentoring program; research practicum, proposal competition; distance learning; and integrated summer workshop and conference. Classes and research will take place in the classroom/office of the future -- a distributed intelligent space where people have ubiquitous access to and can provide/receive information wherever, whenever and to/from whomever they want in an unbounded network of agents (human, webbots, robots, corporations, etc.); thus, reducing classroom/research barriers, enabling real-time computational analysis, data collection, and model validation, and increasing interaction with faculty and students at other institutions.IGERT is an NSF-wide program intended to facilitate the establishment of innovative, research-based graduate programs that will train a diverse group of scientists and engineers to be well-prepared to take advantage of a broad spectrum of career options. IGERT provides doctoral institutions with an opportunity to develop new, well-focussed multidisciplinary graduate programs that transcend organizational boundaries and unite faculty from several departments or institutions to establish a highly interactive, collaborative environment for both training and research. In this second year of the program, awards are being made to twenty-one institutions for programs that collectively span all areas of science and engineering supported by NSF. This specific award is supported by funds from the Directorates for Social, Behavioral, and Economic Sciences, for Computer and Information Science and Engineering, and for Education and Human Resources.